iPad17,1
Geekbench AI Score
5261
Single Precision Score
42905
Half Precision Score
59952
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | October 23 2025 04:10 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (HP)
|
100% |
18899
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
25717
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24396
395.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33711
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9814
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
179164
209.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
331952
389.1 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
20096
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
27872
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
47546
565.0 IPS |
|
|
Face Detection (Q)
|
100% |
68255
811.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9124
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113515
874.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
195676
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
26986
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
264402
339.9 IPS |
|
|
Style Transfer (Q)
|
96% |
378339
488.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67066
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105144
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
7219
9.64 KIPS |
|
|
Text Classification (Q)
|
93% |
7358
9.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18433
317.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19132
330.6 IPS |
